Techno-Economic Analysis of a Battery Energy Storage System with Combined Stationary and Mobile Applications

Hayajneh, Hassan S.; Bashetty, Srikanth; Salim, Muath Naser Bani; Zhang, Xuewei

doi:10.1109/sustech.2018.8671332

Cited by 17 publications

(19 citation statements)

References 6 publications

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“…In two previous studies [6], [25], driven by data records which show that a wind farm supplies energy to the UG at levels much lower than its real-time capacity (Figure 1), and inspired by [26] which demonstrated improvements of the investment attractiveness for stationary BESSs by combining applications, it was proposed that the BESS profitability can be significantly enhanced if part of it can be deployed as mobile energy sources to provide backup power to critical facilities or for emergencies, to deliver continuous power supply during grid maintenance and repair, and more interestingly, to meet the energy demand of electric vehicle charging station (EVCS) networks.…”

Section: Introductionmentioning

confidence: 88%

“…for the same region [9]. Using the same method used in [6], the hourly profile of the real-time wind power generation capacity in 2018 is calculated. Then deducting the actual power injected into the utility grid from the wind farm (data source: ERCOT) to estimate the amount of energy available for storage, which is plotted in Figure 4(a).…”

Section: A Data Inputsmentioning

confidence: 99%

“…Without BESS, the utility grid (UG) operator would have to significantly curtail renewable energy generation to maintain system reliability and stability [4], [5]. In the case of wind energy, examples of non-fully utilized wind farms are provided in [6]- [8]. Figure 1 compares the actual grid power injection from a 250 MW wind farm (Chapman Ranch, Texas) in 2018 with the calculated power generation capability.…”

Section: Introductionmentioning

confidence: 99%

“…The conceptual BESS model and the proposed applications are shown in Figure 3. There are two limitations of [6]: firstly, due to the unavailability of real data, algorithms were used to generate time series of load and portions of wind power production; secondly, only two BESSs with specific capacities were considered, i.e., no optimal design. To address these problems, this work develops a data-driven, simulation-based optimization model to enlighten the planning of a BESS next to RES such as a wind farm.…”

Section: Introductionmentioning

confidence: 99%

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Design of Combined Stationary and Mobile Battery Energy Storage Systems

Hayajneh¹,

Zhang²

2021

Preprint

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To minimize the curtailment of renewable generation and incentivize grid-scale energy storage deployment, a concept of combining stationary and mobile applications of battery energy storage systems built within renewable energy farms is proposed. A simulation-based optimization model is developed to obtain the optimal design parameters such as battery capacity and power ratings by solving a multi-objective optimization problem that aims to maximize the economic profitability, the energy provided for transportation electrification, the demand peak shaving, and the renewable energy utilized. Two applications considered for the stationary energy storage systems are the end-consumer arbitrage and frequency regulation, while the mobile application envisions a scenario of a grid-independent battery-powered electric vehicle charging station network. The charging stations receive supplies from the energy storage system that absorbs renewable energy, contributing to a sustained DC demand that helps with revenues. Representative results are presented for two operation modes and different sets of weights assigned to the objectives. Substantial improvement in the profitability of combined applications over single stationary applications is shown. Pareto frontier of a reduced dimensional problem is obtained to show the trade-off between design objectives. This work could pave the road for future implementations of the new form of energy storage systems.<br>

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Section: Introductionmentioning

confidence: 88%

Section: A Data Inputsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design of Combined Stationary and Mobile Battery Energy Storage Systems

Hayajneh¹,

Zhang²

2021

Preprint

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“…In this case study, the proposed control strategy was validated using the real wind data and the wind turbine working in Chapman Ranch wind farm. Chapman Ranch wind farm is located outside Corpus Christi, Texas with 81 wind turbines operating at an overall capacity of 249.075 MW [18]. The wind turbine has three blades with a rotor diameter of 100 m and a tower height of 90 m. The main parameters [19] of the wind turbine are given in Table 5.…”

Section: Case Studymentioning

confidence: 99%

Design of a Robust Adaptive Controller for the Pitch and Torque Control of Wind Turbines

et al. 2020

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In this paper, robust adaptive control is designed for pitch and torque control of the wind turbines operating under turbulent wind conditions. The dynamics of the wind turbine are formulated by considering the five degrees of freedom system (rotor angle, gearbox angle, generator angle, flap-wise deflection of the rotor blade, and axial displacement of the nacelle). The controller is designed to maintain the rotor speed, maximize the aerodynamic efficiency of the wind turbine, and reduce the loads due to high wind speeds. Gaussian probability distribution function is used for approximating the wind speed, which is given as the disturbance input to the plant. The adaptive control algorithm is implemented to 2 MW and 5 MW wind turbines to test the robustness of the controller for varying parameters. The simulation is carried out using MATLAB/Simulink for three cases, namely pitch control, torque control, and the combined case. A case study is done to validate the proposed adaptive control using real wind speed data. In all the cases, the results indicate that the rotor speed follows the reference speed and show that the designed controller gives a satisfactory performance under varying operating conditions and parameter variations.

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Analysis on Implication Viability of Three-Wheeler Electric Rickshaws Penetration in Indian Market

Moholkar

2023

Sustainable Energy Generation and Storage

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Techno-Economic Analysis of a Battery Energy Storage System with Combined Stationary and Mobile Applications

Cited by 17 publications

References 6 publications

Design of Combined Stationary and Mobile Battery Energy Storage Systems

Design of Combined Stationary and Mobile Battery Energy Storage Systems

Design of a Robust Adaptive Controller for the Pitch and Torque Control of Wind Turbines

Analysis on Implication Viability of Three-Wheeler Electric Rickshaws Penetration in Indian Market

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